Patti Kay

18 total papers · 479 total citations
15 papers, 369 citations indexed

About

Patti Kay is a scholar working on Epidemiology, Surgery and Immunology. According to data from OpenAlex, Patti Kay has authored 15 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 4 papers in Surgery and 4 papers in Immunology. Recurrent topics in Patti Kay's work include Cervical Cancer and HPV Research (13 papers), Hepatitis B Virus Studies (8 papers) and T-cell and Retrovirus Studies (3 papers). Patti Kay is often cited by papers focused on Cervical Cancer and HPV Research (13 papers), Hepatitis B Virus Studies (8 papers) and T-cell and Retrovirus Studies (3 papers). Patti Kay collaborates with scholars based in South Africa, United States and Sweden. Patti Kay's co-authors include Anna‐Lise Williamson, Bruce Allan, Dianne J. Marais, Robbert Soeters, James Nevin, Robert C. Rose, Gita Ramjee, Staffan Bergström, Margaret Hoffman and Lynette Denny and has published in prestigious journals such as The Journal of Infectious Diseases, Journal of Medical Virology and Virus Research.

In The Last Decade

Patti Kay

15 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patti Kay 304 143 54 47 45 15 369
Adela Carrillo‐García 224 0.7× 126 0.9× 43 0.8× 90 1.9× 71 1.6× 15 353
Paola Alberizzi 205 0.7× 184 1.3× 46 0.9× 75 1.6× 71 1.6× 20 384
M P Burger 363 1.2× 139 1.0× 80 1.5× 89 1.9× 58 1.3× 9 436
Patrizia Tenti 287 0.9× 159 1.1× 31 0.6× 50 1.1× 113 2.5× 14 441
Kavita Panwar 353 1.2× 193 1.3× 52 1.0× 18 0.4× 41 0.9× 20 414
Eduardo Pretto Serafini 226 0.7× 147 1.0× 24 0.4× 54 1.1× 54 1.2× 11 386
Daisy R. Lee 286 0.9× 101 0.7× 32 0.6× 174 3.7× 59 1.3× 20 415
Janet Jonte 254 0.8× 136 1.0× 79 1.5× 22 0.5× 45 1.0× 10 339
Veronika af Geijersstam 337 1.1× 159 1.1× 56 1.0× 31 0.7× 59 1.3× 8 401
Maria Antonieta Andreoli 228 0.8× 102 0.7× 31 0.6× 128 2.7× 111 2.5× 18 438

Countries citing papers authored by Patti Kay

Since Specialization
Citations

This map shows the geographic impact of Patti Kay's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patti Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patti Kay more than expected).

Fields of papers citing papers by Patti Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patti Kay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patti Kay. The network helps show where Patti Kay may publish in the future.

Co-authorship network of co-authors of Patti Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Patti Kay. A scholar is included among the top collaborators of Patti Kay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patti Kay. Patti Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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